| Personalized Human Activity Recognition Using Convolutional Neural Networks SA Rokni, M Nourollahi, H Ghasemzadeh AAAI 2018, 2018 | 89 | 2018 |
| Autonomous Training of Activity Recognition Algorithms in Mobile Sensors: A Transfer Learning Approach in Context-Invariant Views SA Rokni, H Ghasemzadeh IEEE Transaction of Mobile Computing, 2018 | 54 | 2018 |
| Digital health for geriatric oncology R Fallahzadeh, SA Rokni, H Ghasemzadeh, E Soto-Perez-de-Celis, ... JCO clinical cancer informatics 2, 1-12, 2018 | 46 | 2018 |
| Synchronous dynamic view learning: a framework for autonomous training of activity recognition models using wearable sensors SA Rokni, H Ghasemzadeh Proceedings of the 16th ACM/IEEE international conference on information …, 2017 | 44 | 2017 |
| Plug-n-learn: automatic learning of computational algorithms in human-centered internet-of-things applications SA Rokni, H Ghasemzadeh Proceedings of the 53rd Annual Design Automation Conference, 1-6, 2016 | 41 | 2016 |
| A reliable and reconfigurable signal processing framework for estimation of metabolic equivalent of task in wearable sensors P Alinia, R Saeedi, R Fallahzadeh, A Rokni, H Ghasemzadeh IEEE Journal of Selected Topics in Signal Processing 10 (5), 842-853, 2016 | 30 | 2016 |
| Semi-supervised learning for named entity recognition using weakly labeled training data A Zafarian, A Rokni, S Khadivi, S Ghiasifard 2015 the international symposium on artificial intelligence and signal …, 2015 | 29 | 2015 |
| Impact of sensor misplacement on estimating metabolic equivalent of task with wearables P Alinia, R Saeedi, B Mortazavi, A Rokni, H Ghasemzadeh 2015 IEEE 12th International Conference on Wearable and Implantable Body …, 2015 | 24 | 2015 |
| Autonomous sensor-context learning in dynamic human-centered internet-of-things environments SA Rokni, H Ghasemzadeh Proceedings of the 35th International Conference on Computer-Aided Design, 1-6, 2016 | 23 | 2016 |
| Gait speed and survival of older surgical patient with cancer: prediction after machine learning K Sasani, HN Catanese, A Ghods, SA Rokni, H Ghasemzadeh, ... Journal of geriatric oncology 10 (1), 120-125, 2019 | 19 | 2019 |
| Smart medication management, current technologies, and future directions SA Rokni, H Ghasemzadeh, N Hezarjaribi Handbook of Research on Healthcare Administration and Management, 188-204, 2017 | 11 | 2017 |
| TransNet: minimally supervised deep transfer learning for dynamic adaptation of wearable systems SA Rokni, M Nourollahi, P Alinia, I Mirzadeh, M Pedram, H Ghasemzadeh ACM Transactions on Design Automation of Electronic Systems (TODAES) 26 (1 …, 2020 | 9 | 2020 |
| A beverage intake tracking system based on machine learning algorithms, and ultrasonic and color sensors M Pedram, SA Rokni, R Fallahzadeh, H Ghasemzadeh Proceedings of the 16th ACM/IEEE International Conference on Information …, 2017 | 7 | 2017 |
| Digital health for geriatric oncology. JCO Clin Cancer Inform 2018; 2: 1–12 R Fallahzadeh, SA Rokni, H Ghasemzadeh, E Soto-Perez-de-Celis, ... | 7 | |
| Share-n-learn: A framework for sharing activity recognition models in wearable systems with context-varying sensors SA Rokni, H Ghasemzadeh ACM Transactions on Design Automation of Electronic Systems (TODAES) 24 (4 …, 2019 | 6 | 2019 |
| Lids: Mobile system to monitor type and volume of liquid intake M Pedram, SI Mirzadeh, SA Rokni, R Fallahzadeh, DMK Woodbridge, ... IEEE Sensors Journal 21 (18), 20750-20763, 2021 | 4 | 2021 |
| Resource-efficient wearable computing for real-time reconfigurable machine learning: A cascading binary classification M Pedram, SA Rokni, M Nourollahi, H Homayoun, H Ghasemzadeh 2019 IEEE 16th International Conference on Wearable and Implantable Body …, 2019 | 4 | 2019 |
| Impact of on-body sensor localization on met calculation using wearables P Alinia, R Saeedi, A Rokni, B Mortazavi, H Ghasemzadeh Body Sensor Networks (BSN), 2015 IEEE International Conference on, 2015 | 4 | 2015 |
| Proximity-based active learning for eating moment recognition in wearable systems M Nourollahi, SA Rokni, P Alinia, H Ghasemzadeh Proceedings of the 6th ACM Workshop on Wearable Systems and Applications, 7-12, 2020 | 2 | 2020 |
| Machine learning algorithm for predicting longer postoperative length of stay among older cancer patients. A Shahrokni, SA Rokni, H Ghasemzadeh Journal of Clinical Oncology 35 (15_suppl), e21536-e21536, 2017 | 2 | 2017 |
Hassan GhasemzadehArizona State UniversityVerified email at asu.edu
